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Course Description
This workshop provides both a conceptual background and practical experience in computer assisted qualitative data analysis (CAQDA) using ATLAS.ti. The workshop begins by examining core elements of CAQDA, regardless of methodological orientation, discipline/profession, or platform. After instruction in the fundamental aspects of CAQDA, the course turns to the logic of the ATLAS.ti program, and how it can function as a tool for CAQDA. The workshop consists of both instruction and hands-on exercises in ATLAS.ti. By the end of the course, participants will have all the conceptual and practical tools necessary to employ ATLAS.ti in their current or future projects involving qualitative data.
Topics covered include: 1. How to perform the fundamentals of computer aided qualitative data analysis in ATLAS.ti, 2. The specific strategies necessary for dealing with different types of data including ethnographic field notes, in-depth interviews, texts, audio, video, and documents, 3. How to organize your data set, 4. How to construct and deploy a coding scheme for your project, 5. Making the best use of memos, 6. Inductive and deductive strategies for investigating substantive relationships in your data, 7. The query tool, 8. Using ATLAS.ti for team projects, and 9. Advanced functions in ATLAS.ti (e.g. networks, geocoding, quantitative output, supercodes and snapshots, co-occurrence functions, tools for inter-coder reliability, etc.).
Schedule
Day 1, 9am-5pm
Instruction 9am-noon and 1-4pm | Lunch (on your own) 12-1pm | Practice and Q&A 4-5pm
What is CAQDA and why does it matter?
The overarching logic of ATLAS.ti
Performing the fundamentals of CAQDA in ATLAS.ti
Data set management
Constructing and deploying a coding scheme
Observation into Text
Day 2, 9am-5pm
Instruction 9am-noon and 1-4pm | Lunch (on your own) 12-1pm | Practice and Q&A 4-5pm
How to perform simple and complex searches to aid in analyzing your data
Inductive and deductive strategies for exploring the data set
How to get the most out of memos
Networks
Team Work
Various Advanced functions in ATLAS.ti
Prerequisite/Technology
Basic knowledge of Windows and a personal computer with ATLAS.ti for Windows version 8 installed (demo or full version). All students should bring a laptop with the Windows version of ATLAS.ti installed. You can purchase ATLAS.ti or download the free trial version here. Although the vast majority of skills will transfer across operating systems, we will use the current PC version for all demonstrations. Attendees might not be able to directly follow along on a Mac during some workshop segments unless they install the Windows version of the software (using parallels or VMware, or make other arrangements prior to the workshop) as the Mac version of ATLAS.ti has a slightly different interface. One of the 12 participants will win a single-user student or educational license and all participants will receive a 20% discount for anyone interested in purchasing a license.
Readings
All readings and handouts will be provided at the workshop. All students receive handouts detailing the course materials and templates for various data set structures.
Cost
The cost to attend the two-day course is $400 for UC Berkeley students, $450 for other students, $550 for those in the academic/non-profit sector, and $700 for all other participants. Register in advance (date TBA) to save $50.
Registration
Space is limited, so register early. You may cancel your registration up to one month in advance for a refund, less a $50 cancellation fee. Less than one month in advance, you may cancel but will only receive a refund if we are able to fill your slot. If you are registering online, you will need a credit card (there is no need to contact us in advance if you are paying by credit card as the online site automatically closes registration once it is full). If you prefer to pay by check, contact cer [at] berkeley [dot] edu to be sure there is still space available.
Unfamiliar with Berkeley? Looking for a place to stay? Check out this UCB-prepared guide to accommodations and dining. Please note that due to Cal Day taking place on campus on 4/18, hotel space may fill up quickly. Information about parking is available here, and we also have information for cyclists and public transit riders.
Instructor
Corey M. Abramson is Associate Professor of Sociology at the University of Arizona. He received his Ph.D. in sociology from UC Berkeley in 2012 and spent the following year as a post-doctoral fellow at the Philip R. Lee Institute for Health Policy Studies at the University of California, San Francisco. Professor Abramson has over a decade-and-a-half of experience using, teaching, and developing methods of Computer Assisted Qualitative Data Analysis (CAQDA). Abramson has used ATLAS.ti in his own qualitative and mixed-methods projects including his book with Harvard University Press, and recent methodological pieces in Sociological Methodology, and Ethnography. Professor Abramson has had the opportunity to serve as a methodological adviser and consultant for individual and team based projects encompassing a wide range of data types, analytical approaches, and disciplines. He has worked to develop novel training programs for conducting qualitative research in social science and policy disciplines at the undergraduate, graduate, and post-graduate levels. In recent years, his workshops have been commissioned by a range of organizations including: universities, medical centers, think tanks, professional associations, and the ATLAS.ti training center.
Contact: coreyabramson [at] email [dot] arizona [dot] edu
Testimonials
Click here to read testimonials from former participants.
Co-Sponsored By ATLAS.Ti GmbH
All workshops take place at the Institute for the Study of Societal Issues (2111 Bancroft Way #5670 STE 344 University of California, Berkeley CA 94720).
Direct all queries regarding the ATLAS.ti workshops to cer [at] berkeley [dot] edu.
For information regarding consulting, individual training, or on-site workshops at your research center, please e-mail cer [at] berkeley [dot] edu.
